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Data Mining and SSIS A marriage made in heaven (or Redmond at least)

Data Mining and SSIS A marriage made in heaven (or Redmond at least). Allan Mitchell SQL Server MVP. Who am I. SQL Server MVP SQL Server Consultant Joint author on Wrox Professional SSIS book Worked with SQL Server since version 6.5 www.SQLDTS.com and www.SQLIS.com

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Data Mining and SSIS A marriage made in heaven (or Redmond at least)

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  1. Data Mining and SSISA marriage made in heaven (or Redmond at least) Allan Mitchell SQL Server MVP

  2. Who am I • SQL Server MVP • SQL Server Consultant • Joint author on Wrox Professional SSIS book • Worked with SQL Server since version 6.5 • www.SQLDTS.com and www.SQLIS.com • Partner of SQL Know How

  3. Today’s Schedule • I only have 30 minutes ! • Why do they go well together • How do they do it?

  4. Why do they go well together? • Easy • SSIS moves and cleans data • SSIS can manipulate heterogeneous data • Data Mining requires clean data (duh!) • Data Mining requires a given structure for the data

  5. What do you get? • Tasks • Analysis Services Execute DDL Task • Analysis Services Processing Task • Data Mining Query Task • Transformation • Data Mining Query Transformation • Term Extraction Transform • Term Lookup Transform • Destination • Data Mining Model Training Destination

  6. Analysis Services Execute DDL Task • Allows you to run DDL statements against SSAS • Includes Dropping, Creating, Altering DM objects

  7. Analysis Services Processing Task • Process objects on SSAS • This includes your Mining Structures and models

  8. Data Mining Query Task • Query one or more mining models/structures • Return singleton or flattened cellset • Store results to table (OLE DB) or variable.

  9. Data Mining Query Transform • Perform a DM query against a model • Return result into the pipeline

  10. Text Mining Transforms • Perform text based extractions/lookups against pipeline data • Uses Clustering and NLP underneath to do this

  11. Mining Model Training Destination • Take data from the pipeline and use it to train a mining model.

  12. Demos

  13. Resources • http://www.SQLServerDataMining.com • http://www.bogdancrivat.net/dm/ • http://blogs.msdn.com/jamiemac/ • http://social.msdn.microsoft.com/Forums/en-US/sqldatamining/threads/

  14. Contact Details allan.mitchell@konesans.com

  15. Europe’s Premier Community SQL Server Conference

  16. Up and coming events.. April 2009 Saturday/4-Belfast: DDD-Belfast Tuesday/14-Glasgow: Two DBAs walk in to a room of Developers Thursday/16–London: Using Spatial Data in SQL Server and Virtual Earth Saturday/18-Reading: WebDD '09 Thursday/30-London: Compress your database with Hyperbac May 2009 Saturday/2-Glasgow: Developer Day Scotland 2009 Thursday/21–London: SQL Server in the Cloud Saturday/23-Taunton: DDD-South West See SQLServerFAQ.com for more details

  17. Don’t forget The clocks go forward tonight!

  18. Its party time! Coming up next in the Atrium: Time to relax and let your hair down. Rockband Table football Air Hockey and more

  19. We hope you had a great conference! See you at the next one in the Autumn Thank you

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